7 个仓库
Utilities that convert text files into multiple audio files by treating each line as a separate synthesis task.
Distinct from Audio Batch Utilities: Distinct from Audio Batch Utilities: focuses on converting text lines to audio rather than managing music libraries.
Explore 7 awesome GitHub repositories matching data & databases · Text-to-Audio Batch Conversion. Refine with filters or upvote what's useful.
VoxCPM is a multilingual speech synthesis system and text-to-speech inference server. It functions as an AI voice cloning tool and a synthetic voice designer, capable of generating natural speech across global languages and regional dialects using a GPU-accelerated audio generator. The project features a speech model fine-tuning framework that supports both full parameter updates and low-rank adaptation for customizing voice characteristics. It enables high-fidelity voice cloning from reference audio, including cross-lingual voice transfer and acoustic environment mimicry, as well as the crea
Converts text files into separate audio files by treating each line as an individual synthesis task.
Scrapegraph-ai is a Python framework that uses large language models to automate the extraction of structured data from websites and documents. It functions as an AI-driven data extraction pipeline that converts unstructured web content into structured formats using natural language processing and graph-based logic. The project utilizes graph-based task orchestration to model scraping workflows as interconnected nodes. It features a pluggable model interface for connecting to cloud or local artificial intelligence providers and can generate executable Python code on the fly to handle site-spe
Transforms extracted website information into audio files for accessibility or alternative content consumption.
This project is a collection of implementation guides, recipes, and developer resources for building applications with Llama models. It serves as a comprehensive kit for developing autonomous agents, establishing retrieval-augmented generation systems, and executing model fine-tuning. The resource provides specific patterns for multimodal workflows that process text, images, and audio. It includes specialized guidance on adapting pre-trained model weights for targeted tasks and implementing tool-calling orchestration to connect models with external APIs and functions. The codebase covers a b
Transforms PDF content into multi-speaker scripts and audio files using a sequence of specialized models.
EmotiVoice is an emotional text-to-speech engine and bilingual speech synthesizer designed to generate synthetic audio in English and Chinese. It utilizes a deep learning architecture to produce high-fidelity speech with controllable emotional states and timbres. The project includes a voice cloning framework for replicating specific speaker identities by training custom acoustic models on personal audio datasets. It employs a jointly-trained acoustic-vocoder pipeline and style-embedding-based synthesis to manage expression and reduce audio artifacts. The system covers a broad range of speec
Enables the creation of multiple synthetic speech files by processing text lists through a scripting interface.
ReadYou is a self-hosted reading application and RSS feed aggregator that centralizes content from multiple web sources. It functions as a full-text RSS reader, extracting the complete body text from web pages to provide a distraction-free reading experience. The application includes specialized accessibility and speed tools, such as a bionic reading mode that uses pattern-based text highlighting to guide the eye and a text-to-speech system for audio content consumption. The project covers comprehensive subscription management through OPML import and export, feed categorization, and keyword-
Converts extracted web article text into synthetic speech for hands-free audio consumption.
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Reads multiple UTF-8 text files sequentially, converts each to MP3, and handles long-text slicing automatically.
Abogen is a text-to-speech audiobook generator that transforms digital documents and subtitle files into audiobooks. It utilizes language models to perform text normalization, rewriting contractions and punctuation to produce more natural speech synthesis. The system features a voice profile mixer that blends multiple voice models using adjustable weight ratios to create personalized synthetic voices. It also includes an automated export system that sends completed audio files and metadata to a remote Audiobookshelf server via a web API. The project manages the end-to-end audiobook productio
Transforms digital documents and subtitle files into high-quality audiobooks with synchronized subtitle tracks.